What can @modelcontextprotocol/node do?

bidirectional-mcp-server-client-communication, stdio-transport-server-setup, http-sse-transport-server-setup, resource-server-definition-and-listing, tool-definition-and-invocation, prompt-template-server-definition, request-context-and-metadata-handling, error-handling-and-protocol-compliance, event-driven-notification-system, type-safe-typescript-bindings

@modelcontextprotocol/node

MCP ServerFree

Model Context Protocol implementation for TypeScript - Node.js middleware

Open Source

/ 100

10 capabilities

Capabilities10 decomposed

bidirectional-mcp-server-client-communication

Medium confidence

Implements the Model Context Protocol specification for Node.js, enabling bidirectional JSON-RPC 2.0 message exchange between LLM clients and resource/tool servers over stdio, HTTP, or SSE transports. Uses event-driven architecture with request-response and notification patterns to decouple client and server concerns while maintaining strict protocol compliance.

Solves for

I need to build an MCP server that exposes tools and resources to Claude or other LLM clientsI want to connect my Node.js application to an LLM as a resource provider without managing transport detailsI need to handle bidirectional communication where both client and server can initiate requests

Best for

Node.js developers building LLM-integrated applications

Teams implementing the Model Context Protocol specification

Developers creating tool/resource servers for Claude Desktop or other MCP clients

Requires

Node.js 16.0.0 or higher

TypeScript 4.5+ (for type definitions) or JavaScript ES2020+

Understanding of JSON-RPC 2.0 protocol semantics

Limitations

Node.js runtime only — no browser/edge runtime support

Requires explicit transport configuration (stdio, HTTP, SSE) — no auto-detection

Protocol version locked to MCP spec version — breaking changes require major version bump

What makes it unique

Provides first-party, spec-compliant MCP implementation for Node.js with native support for multiple transports (stdio, HTTP, SSE) and strict adherence to the official MCP specification, including proper error handling and protocol versioning

vs alternatives

More reliable than third-party MCP implementations because it's maintained by Anthropic and guaranteed to match Claude's MCP client expectations exactly

stdio-transport-server-setup

Medium confidence

Configures MCP servers to communicate via standard input/output streams, enabling seamless integration with CLI tools and local LLM clients like Claude Desktop. Handles stream buffering, line-delimited JSON parsing, and graceful shutdown without requiring network configuration or port management.

Solves for

I want to run an MCP server locally that Claude Desktop can connect to via stdioI need to expose my Node.js tools to Claude without setting up HTTP endpointsI'm building a CLI tool that should act as an MCP server for local LLM clients

Best for

Developers building local-first MCP servers for Claude Desktop

CLI tool authors adding LLM integration

Teams avoiding network overhead for local development

Requires

Node.js 16.0.0+

Parent process with stdio file descriptor access

MCP client configured to spawn the server process

Limitations

Single connection per process — no multiplexing across clients

Stream buffering can cause latency spikes with large messages (>1MB)

Requires parent process to manage stdio redirection — not suitable for detached processes

What makes it unique

Provides native stdio transport implementation that handles line-delimited JSON framing and stream lifecycle management, eliminating boilerplate for local server setup compared to generic Node.js stream handling

vs alternatives

Simpler than HTTP transport for local development because it avoids port conflicts, firewall rules, and TLS certificate management while maintaining full MCP protocol compliance

http-sse-transport-server-setup

Medium confidence

Enables MCP servers to accept HTTP requests and Server-Sent Events (SSE) connections, allowing remote clients and web-based LLM interfaces to communicate with the server. Implements request-response semantics over HTTP POST and streaming responses via SSE, with built-in CORS and authentication hooks.

Solves for

I need to expose my MCP server to remote clients over the networkI want to integrate my Node.js tools with web-based LLM interfaces or cloud Claude deploymentsI'm building a multi-client MCP server that handles concurrent connections

Best for

Developers deploying MCP servers to cloud infrastructure

Teams building web-based LLM applications with MCP backends

Organizations requiring remote access to tool servers

Requires

Node.js 16.0.0+

HTTP server framework (Express, Fastify, etc.) or use built-in HTTP module

TLS certificates if deploying over HTTPS

Limitations

HTTP request-response adds ~50-200ms latency per round-trip vs stdio

SSE connections are unidirectional (server-to-client) — requires HTTP POST for client-to-server messages

No built-in load balancing or connection pooling — horizontal scaling requires external proxy

What makes it unique

Provides HTTP and SSE transport bindings that handle the asymmetry of request-response semantics over HTTP while maintaining MCP's bidirectional communication model through SSE streaming, with built-in hooks for authentication and CORS

vs alternatives

More scalable than stdio for multi-client scenarios because it leverages HTTP's connection pooling and allows horizontal scaling behind a reverse proxy, though with higher latency

resource-server-definition-and-listing

Medium confidence

Provides APIs to define static and dynamic resources (documents, files, data) that MCP clients can discover and retrieve. Resources are registered with metadata (name, description, MIME type, URI) and exposed via a standardized listing endpoint that clients query to discover available resources without prior knowledge.

Solves for

I want to expose files, documents, or data from my application to Claude as resources it can readI need Claude to discover what resources my server provides without hardcoding a listI'm building a knowledge base server that exposes documents as MCP resources

Best for

Developers building knowledge base or document servers for LLM clients

Teams exposing application data to Claude for analysis or summarization

Organizations implementing RAG-like patterns with MCP resources

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Resource metadata (name, description, MIME type, URI)

Limitations

Resource listing is synchronous — large resource sets (>10k) may cause timeout

No built-in pagination or filtering — clients must handle large result sets

Resource URIs are opaque to the protocol — no standardized URI scheme across servers

What makes it unique

Implements MCP resource protocol with standardized listing and retrieval semantics, allowing clients to discover resources dynamically without prior configuration, unlike REST APIs that require hardcoded endpoints

vs alternatives

More discoverable than REST endpoints because clients can query available resources at runtime, enabling dynamic integration without API documentation or configuration

tool-definition-and-invocation

Medium confidence

Allows servers to register callable tools with JSON Schema input validation, enabling MCP clients to discover, validate, and invoke server-side functions. Tools are defined with name, description, and input schema; clients receive the schema for validation and can invoke tools with arguments that are validated against the schema before execution.

Solves for

I want to expose functions from my Node.js application as tools that Claude can callI need Claude to validate tool arguments against a schema before calling my functionsI'm building an agent that should be able to call my application's APIs through MCP tools

Best for

Developers building LLM agents with external tool access

Teams exposing application functions to Claude for automation

Organizations implementing agentic workflows with tool calling

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Tool definitions with JSON Schema input validation

Limitations

Tool invocation is synchronous — long-running tools (>30s) may timeout

JSON Schema validation is strict — complex types (unions, discriminators) require careful schema design

No built-in rate limiting or quota management — servers must implement their own

What makes it unique

Implements tool calling with JSON Schema-based input validation, allowing clients to validate arguments before invocation and enabling type-safe tool integration without custom serialization logic

vs alternatives

More robust than OpenAI function calling because it uses standard JSON Schema for validation and allows servers to define tools dynamically at runtime, not just at initialization

prompt-template-server-definition

Medium confidence

Enables servers to register reusable prompt templates with arguments that MCP clients can discover and instantiate. Templates are defined with name, description, and argument schemas; clients can query available prompts and request instantiated versions with specific arguments, enabling dynamic prompt composition without hardcoding.

Solves for

I want to provide Claude with reusable prompt templates that it can fill in with context-specific argumentsI need to expose domain-specific prompts from my application to LLM clientsI'm building a prompt management system that Claude should be able to query and use

Best for

Teams managing prompt libraries for LLM applications

Developers building domain-specific LLM interfaces

Organizations standardizing prompts across multiple LLM clients

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Prompt template definitions with argument schemas

Limitations

Prompt instantiation is synchronous — dynamic prompt generation with external data requires pre-fetching

No built-in versioning — prompt updates require server restart or dynamic reloading

Argument validation is schema-based only — no semantic validation of prompt content

What makes it unique

Provides MCP prompt protocol for server-side prompt template management, allowing clients to discover and instantiate prompts dynamically without embedding prompts in client code

vs alternatives

More flexible than hardcoded prompts because templates are managed server-side and can be updated without redeploying clients, enabling centralized prompt governance

request-context-and-metadata-handling

Medium confidence

Manages request context including client metadata, protocol version negotiation, and capability exchange during MCP initialization. Implements the initialize handshake where client and server exchange supported features, protocol version, and implementation details, establishing a shared context for subsequent communication.

Solves for

I need to negotiate protocol version and capabilities with MCP clients during connection setupI want to access client metadata (name, version) to customize server behavior per clientI'm building a server that should adapt its feature set based on client capabilities

Best for

Developers building version-aware MCP servers

Teams supporting multiple MCP client versions

Organizations implementing feature flags based on client capabilities

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

MCP client that implements initialize handshake

Limitations

Capability negotiation is one-time at initialization — no dynamic capability updates

Protocol version mismatch causes hard failure — no graceful degradation

Client metadata is self-reported — no verification or trust model

What makes it unique

Implements MCP initialization protocol with explicit capability exchange, allowing servers to advertise supported features and clients to adapt behavior based on server capabilities, unlike stateless protocols that assume fixed feature sets

vs alternatives

More flexible than REST APIs because it enables runtime capability discovery and version negotiation, allowing servers and clients to evolve independently while maintaining compatibility

error-handling-and-protocol-compliance

Medium confidence

Provides standardized error handling following JSON-RPC 2.0 error semantics with MCP-specific error codes and messages. Validates incoming messages against the MCP schema, rejects malformed requests with appropriate error responses, and ensures all protocol violations are communicated back to clients with actionable error details.

Solves for

I need to return proper JSON-RPC errors when tool invocation failsI want to validate incoming MCP messages and reject malformed requestsI'm debugging protocol issues and need clear error messages from the server

Best for

Developers building robust MCP servers

Teams implementing error handling and logging

Organizations debugging client-server communication issues

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Understanding of JSON-RPC 2.0 error semantics

Limitations

Error codes are fixed by MCP spec — no custom error codes

Error messages are unstructured text — no machine-readable error details

Validation is schema-based only — no semantic validation of message content

What makes it unique

Enforces strict JSON-RPC 2.0 and MCP protocol compliance with schema validation and standardized error responses, preventing silent failures and ensuring clients receive actionable error information

vs alternatives

More reliable than custom error handling because it follows standardized JSON-RPC semantics that MCP clients expect, reducing debugging time and improving interoperability

event-driven-notification-system

Medium confidence

Implements JSON-RPC 2.0 notifications (one-way messages without response expectation) for asynchronous events like resource updates or tool availability changes. Servers can emit notifications to clients without waiting for acknowledgment, enabling push-based communication patterns for real-time updates.

Solves for

I want to notify Claude when resources change without waiting for a requestI need to push updates to clients when tool availability changesI'm building a server that should emit events for client-side reactions

Best for

Developers building real-time MCP servers with push updates

Teams implementing event-driven architectures with MCP

Organizations needing asynchronous notifications from servers

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

MCP client that handles notifications

Limitations

Notifications are fire-and-forget — no delivery guarantee or acknowledgment

Client handling of notifications is optional — servers cannot rely on processing

No built-in event queuing — rapid notifications may overwhelm clients

What makes it unique

Implements JSON-RPC 2.0 notifications for asynchronous server-to-client communication, enabling push-based event patterns that REST APIs typically require polling to achieve

vs alternatives

More efficient than polling because servers push updates to clients immediately, reducing latency and network overhead for real-time scenarios

type-safe-typescript-bindings

Medium confidence

Provides TypeScript type definitions and interfaces for MCP protocol messages, resource/tool definitions, and server/client APIs. Enables compile-time type checking and IDE autocomplete for MCP development, reducing runtime errors and improving developer experience compared to untyped JSON manipulation.

Solves for

I want TypeScript type checking for my MCP server implementationI need IDE autocomplete when defining tools and resourcesI'm building a type-safe MCP server without manual type annotations

Best for

TypeScript developers building MCP servers

Teams prioritizing type safety and IDE support

Organizations with strict code quality standards

Requires

TypeScript 4.5+

Node.js 16.0.0+

@modelcontextprotocol/node package

Limitations

TypeScript-only — no first-class Python or Go support

Type definitions are locked to MCP spec version — breaking changes require major version bump

Generic types can be verbose for complex tool schemas

What makes it unique

Provides first-party TypeScript bindings with full type coverage for MCP protocol, enabling compile-time validation and IDE support that generic JSON-based approaches cannot match

vs alternatives

Better developer experience than untyped implementations because TypeScript catches errors at compile time and IDEs provide autocomplete, reducing debugging time

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with @modelcontextprotocol/node, ranked by overlap. Discovered automatically through the match graph.

MCP Server37

mcp-hello-world

A simple Hello World MCP server

bidirectional client-server communication setup

1 shared capability

MCP Server22

@modelcontextprotocol/server-everything

MCP server that exercises all the features of the MCP protocol

protocol transport abstraction with stdio and sse support

1 shared capability

MCP Server36

@z_ai/mcp-server

MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities

stdio and sse transport abstraction for mcp communication

1 shared capability

MCP Server22

mcp-server

mcp server

stdio, websocket, and sse transport abstraction with automatic negotiation

1 shared capability

MCP Server30

@mcp-use/cli

The mcp-use CLI is a tool for building and deploying MCP servers with support for ChatGPT Apps, Code Mode, OAuth, Notifications, Sampling, Observability and more.

server-sent events (sse) transport configuration

1 shared capability

Repository26

ToolHive

** - A lightweight utility designed to simplify the deployment and management of MCP servers, ensuring ease of use, consistency, and security through containerization by **[StacklokLabs](https://github.com/StacklokLabs)**

multi-transport mcp communication layer (stdio and sse)

1 shared capability

Best For

✓Node.js developers building LLM-integrated applications
✓Teams implementing the Model Context Protocol specification
✓Developers creating tool/resource servers for Claude Desktop or other MCP clients
✓Developers building local-first MCP servers for Claude Desktop
✓CLI tool authors adding LLM integration
✓Teams avoiding network overhead for local development
✓Developers deploying MCP servers to cloud infrastructure
✓Teams building web-based LLM applications with MCP backends

Known Limitations

⚠Node.js runtime only — no browser/edge runtime support
⚠Requires explicit transport configuration (stdio, HTTP, SSE) — no auto-detection
⚠Protocol version locked to MCP spec version — breaking changes require major version bump
⚠No built-in message queuing or persistence — transient connections lose in-flight messages
⚠Single connection per process — no multiplexing across clients
⚠Stream buffering can cause latency spikes with large messages (>1MB)

Requirements

Node.js 16.0.0 or higherTypeScript 4.5+ (for type definitions) or JavaScript ES2020+Understanding of JSON-RPC 2.0 protocol semanticsNode.js 16.0.0+Parent process with stdio file descriptor accessMCP client configured to spawn the server processHTTP server framework (Express, Fastify, etc.) or use built-in HTTP moduleTLS certificates if deploying over HTTPS

Input / Output

Accepts: JSON-RPC 2.0 request objects, JSON-RPC 2.0 notification objects, MCP protocol messages (initialize, resources/list, tools/call, etc.), line-delimited JSON from stdin, HTTP POST JSON bodies, HTTP headers for authentication/metadata, Resource definitions (name, description, MIME type, URI), Tool definitions (name, description, input schema), Tool invocation requests with arguments, Prompt template definitions (name, description, arguments, template text), Client initialization request with metadata and capabilities, Malformed JSON-RPC messages, Invalid MCP protocol messages, Event data (application-specific), TypeScript source code

Produces: JSON-RPC 2.0 response objects, JSON-RPC 2.0 error objects, MCP protocol response messages, line-delimited JSON to stdout, HTTP JSON responses, Server-Sent Events (text/event-stream), Resource list with metadata, Resource content (text, binary, etc.), Tool list with schemas, Tool execution results (any JSON), Prompt list with metadata, Instantiated prompt text with arguments filled in, Server initialization response with metadata and capabilities, JSON-RPC 2.0 error responses with code and message, JSON-RPC 2.0 notification messages, Compiled JavaScript with type information

UnfragileRank

Adoption15%(30% weight)

Quality20%(25% weight)

Ecosystem42%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

10 capabilities

Visit @modelcontextprotocol/node→

Package Details

npm

Registry

2.0.0-alpha.2

Version

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Model Context Protocol implementation for TypeScript - Node.js middleware

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Capabilities10 decomposed

bidirectional-mcp-server-client-communication

Medium confidence

Solves for

Best for

Node.js developers building LLM-integrated applications

Teams implementing the Model Context Protocol specification

Developers creating tool/resource servers for Claude Desktop or other MCP clients

Requires

Node.js 16.0.0 or higher

TypeScript 4.5+ (for type definitions) or JavaScript ES2020+

Understanding of JSON-RPC 2.0 protocol semantics

Limitations

Node.js runtime only — no browser/edge runtime support

Requires explicit transport configuration (stdio, HTTP, SSE) — no auto-detection

Protocol version locked to MCP spec version — breaking changes require major version bump

What makes it unique

vs alternatives

More reliable than third-party MCP implementations because it's maintained by Anthropic and guaranteed to match Claude's MCP client expectations exactly

stdio-transport-server-setup

Medium confidence

Solves for

Best for

Developers building local-first MCP servers for Claude Desktop

CLI tool authors adding LLM integration

Teams avoiding network overhead for local development

Requires

Node.js 16.0.0+

Parent process with stdio file descriptor access

MCP client configured to spawn the server process

Limitations

Single connection per process — no multiplexing across clients

Stream buffering can cause latency spikes with large messages (>1MB)

Requires parent process to manage stdio redirection — not suitable for detached processes

What makes it unique

vs alternatives

Simpler than HTTP transport for local development because it avoids port conflicts, firewall rules, and TLS certificate management while maintaining full MCP protocol compliance

http-sse-transport-server-setup

Medium confidence

Solves for

Best for

Developers deploying MCP servers to cloud infrastructure

Teams building web-based LLM applications with MCP backends

Organizations requiring remote access to tool servers

Requires

Node.js 16.0.0+

HTTP server framework (Express, Fastify, etc.) or use built-in HTTP module

TLS certificates if deploying over HTTPS

Limitations

HTTP request-response adds ~50-200ms latency per round-trip vs stdio

SSE connections are unidirectional (server-to-client) — requires HTTP POST for client-to-server messages

No built-in load balancing or connection pooling — horizontal scaling requires external proxy

What makes it unique

vs alternatives

More scalable than stdio for multi-client scenarios because it leverages HTTP's connection pooling and allows horizontal scaling behind a reverse proxy, though with higher latency

resource-server-definition-and-listing

Medium confidence

Solves for

Best for

Developers building knowledge base or document servers for LLM clients

Teams exposing application data to Claude for analysis or summarization

Organizations implementing RAG-like patterns with MCP resources

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Resource metadata (name, description, MIME type, URI)

Limitations

Resource listing is synchronous — large resource sets (>10k) may cause timeout

No built-in pagination or filtering — clients must handle large result sets

Resource URIs are opaque to the protocol — no standardized URI scheme across servers

What makes it unique

vs alternatives

More discoverable than REST endpoints because clients can query available resources at runtime, enabling dynamic integration without API documentation or configuration

tool-definition-and-invocation

Medium confidence

Solves for

Best for

Developers building LLM agents with external tool access

Teams exposing application functions to Claude for automation

Organizations implementing agentic workflows with tool calling

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Tool definitions with JSON Schema input validation

Limitations

Tool invocation is synchronous — long-running tools (>30s) may timeout

JSON Schema validation is strict — complex types (unions, discriminators) require careful schema design

No built-in rate limiting or quota management — servers must implement their own

What makes it unique

Implements tool calling with JSON Schema-based input validation, allowing clients to validate arguments before invocation and enabling type-safe tool integration without custom serialization logic

vs alternatives

More robust than OpenAI function calling because it uses standard JSON Schema for validation and allows servers to define tools dynamically at runtime, not just at initialization

prompt-template-server-definition

Medium confidence

Solves for

Best for

Teams managing prompt libraries for LLM applications

Developers building domain-specific LLM interfaces

Organizations standardizing prompts across multiple LLM clients

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Prompt template definitions with argument schemas

Limitations

Prompt instantiation is synchronous — dynamic prompt generation with external data requires pre-fetching

No built-in versioning — prompt updates require server restart or dynamic reloading

Argument validation is schema-based only — no semantic validation of prompt content

What makes it unique

Provides MCP prompt protocol for server-side prompt template management, allowing clients to discover and instantiate prompts dynamically without embedding prompts in client code

vs alternatives

More flexible than hardcoded prompts because templates are managed server-side and can be updated without redeploying clients, enabling centralized prompt governance

request-context-and-metadata-handling

Medium confidence

Solves for

Best for

Developers building version-aware MCP servers

Teams supporting multiple MCP client versions

Organizations implementing feature flags based on client capabilities

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

MCP client that implements initialize handshake

Limitations

Capability negotiation is one-time at initialization — no dynamic capability updates

Protocol version mismatch causes hard failure — no graceful degradation

Client metadata is self-reported — no verification or trust model

What makes it unique

vs alternatives

More flexible than REST APIs because it enables runtime capability discovery and version negotiation, allowing servers and clients to evolve independently while maintaining compatibility

error-handling-and-protocol-compliance

Medium confidence

Solves for

Best for

Developers building robust MCP servers

Teams implementing error handling and logging

Organizations debugging client-server communication issues

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

Understanding of JSON-RPC 2.0 error semantics

Limitations

Error codes are fixed by MCP spec — no custom error codes

Error messages are unstructured text — no machine-readable error details

Validation is schema-based only — no semantic validation of message content

What makes it unique

Enforces strict JSON-RPC 2.0 and MCP protocol compliance with schema validation and standardized error responses, preventing silent failures and ensuring clients receive actionable error information

vs alternatives

More reliable than custom error handling because it follows standardized JSON-RPC semantics that MCP clients expect, reducing debugging time and improving interoperability

event-driven-notification-system

Medium confidence

Solves for

Best for

Developers building real-time MCP servers with push updates

Teams implementing event-driven architectures with MCP

Organizations needing asynchronous notifications from servers

Requires

Node.js 16.0.0+

@modelcontextprotocol/node package

MCP client that handles notifications

Limitations

Notifications are fire-and-forget — no delivery guarantee or acknowledgment

Client handling of notifications is optional — servers cannot rely on processing

No built-in event queuing — rapid notifications may overwhelm clients

What makes it unique

Implements JSON-RPC 2.0 notifications for asynchronous server-to-client communication, enabling push-based event patterns that REST APIs typically require polling to achieve

vs alternatives

More efficient than polling because servers push updates to clients immediately, reducing latency and network overhead for real-time scenarios

type-safe-typescript-bindings

Medium confidence

Solves for

I want TypeScript type checking for my MCP server implementationI need IDE autocomplete when defining tools and resourcesI'm building a type-safe MCP server without manual type annotations

Best for

TypeScript developers building MCP servers

Teams prioritizing type safety and IDE support

Organizations with strict code quality standards

Requires

TypeScript 4.5+

Node.js 16.0.0+

@modelcontextprotocol/node package

Limitations

TypeScript-only — no first-class Python or Go support

Type definitions are locked to MCP spec version — breaking changes require major version bump

Generic types can be verbose for complex tool schemas

What makes it unique

Provides first-party TypeScript bindings with full type coverage for MCP protocol, enabling compile-time validation and IDE support that generic JSON-based approaches cannot match

vs alternatives

Better developer experience than untyped implementations because TypeScript catches errors at compile time and IDEs provide autocomplete, reducing debugging time

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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@modelcontextprotocol/node

Capabilities10 decomposed

bidirectional-mcp-server-client-communication

stdio-transport-server-setup

http-sse-transport-server-setup

resource-server-definition-and-listing

tool-definition-and-invocation

prompt-template-server-definition

request-context-and-metadata-handling

error-handling-and-protocol-compliance

event-driven-notification-system

type-safe-typescript-bindings

Related Artifactssharing capabilities

mcp-hello-world

@modelcontextprotocol/server-everything

@z_ai/mcp-server

mcp-server

@mcp-use/cli

ToolHive

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @modelcontextprotocol/node

Are you the builder of @modelcontextprotocol/node?

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@modelcontextprotocol/node

Capabilities10 decomposed

bidirectional-mcp-server-client-communication

stdio-transport-server-setup

http-sse-transport-server-setup

resource-server-definition-and-listing

tool-definition-and-invocation

prompt-template-server-definition

request-context-and-metadata-handling

error-handling-and-protocol-compliance

event-driven-notification-system

type-safe-typescript-bindings

Related Artifactssharing capabilities

mcp-hello-world

@modelcontextprotocol/server-everything

@z_ai/mcp-server

mcp-server

@mcp-use/cli

ToolHive

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @modelcontextprotocol/node

Are you the builder of @modelcontextprotocol/node?

Get the weekly brief

Data Sources